Sr. Data & Insights Consultant - job 8 of 19

As a Senior Data & Insights Consultant at our company, you will oversee the analytic functions related to the Go to Market (GTM) business, focusing on performance metrics. You'll manage daily, monthly, and quarterly executive reporting while collaborating with various stakeholders to create and maintain monitoring dashboards using tools like Tableau and Power BI. Your role will also involve identifying data discrepancies and delivering insights that drive business opportunities.

To be considered for the Senior Data & Insights Consultant role in Miami, candidates should typically possess a Bachelor’s degree in a relevant field, along with strong experience in data analytics, specifically with tools like Tableau and Power BI. A background in payments or financial services is advantageous, paired with excellent communication skills to convey complex data insights effectively.

In the Senior Data & Insights Consultant position, you will utilize various analytics and reporting tools, most notably Tableau and Power BI to create dashboards and reports. Familiarity with Big Data environments will also be essential as you distill massive datasets for insightful analyses to support our GTM strategy.

The Senior Data & Insights Consultant plays a pivotal role in driving the team’s objectives by providing data-driven insights that inform strategic decisions. Your analyses will guide best practices in our money movement platforms, while your ability to communicate findings to both technical and non-technical stakeholders ensures everyone is aligned and can act on the insights provided.

The work environment for the Senior Data & Insights Consultant is a hybrid model, combining the flexibility of remote work with essential in-office collaboration. Days in the office will be confirmed with your hiring manager, allowing for a balance that promotes productivity and team synergy while enabling you to focus on important data analyses.

When answering this question, highlight specific projects where you successfully used Tableau or Power BI to create impactful visualizations. Discuss how your dashboards improved decision-making or operational efficiencies, showcasing your ability to turn data into actionable insights.

Explain your systematic approach to data validation, including steps like cross-referencing data sources, checking for anomalies, and performing consistency checks. Sharing a specific example can demonstrate your thorough understanding of the importance of data integrity in analytics.

Share a specific incident where your analysis highlighted a business opportunity. Detail the context, the analysis process you undertook, and the positive results or changes that emerged from your findings to illustrate your impact as a Senior Data & Insights Consultant.

Discuss your strategy for tailoring presentations and dashboards based on the audience. Emphasize how you prioritize clarity, using simple visuals and straightforward explanations for non-technical stakeholders while providing more detailed analysis for technical teams.

Outline your methods for streamlining reporting processes, such as developing automated reports, scheduling, and establishing clear communication channels with stakeholders. Highlight how these techniques help you meet deadlines while maintaining accuracy.

Share the resources you rely on for keeping current, such as industry publications, webinars, and professional networks. Mention how you’ve applied any new insights or tools you've learned to your previous roles as a Data & Insights Consultant.

Describe a specific case where you discovered a data inconsistency and the steps you took to investigate and resolve it. Detail the outcome and how it improved the data quality and analytics process, reflecting on your analytical skills.

Explain your approach to project management, such as using prioritization frameworks or tools to assess the urgency and impact of projects. Discuss how effective communication with stakeholders has helped you balance competing analytics requests.

Illustrate your techniques for simplifying complex data, such as using analogies, visual aids, and clear language. Share an example of a successful presentation where you communicated insights effectively to a non-technical audience.

Share a specific challenge related to data analysis, such as resource constraints or conflicting stakeholder requirements. Describe how you tackled the issue, what you learned from it, and how it has informed your approach to future projects.